On the feature selection for battery state of health estimation based on charging–discharging profiles
出版年份 2020 全文链接
标题
On the feature selection for battery state of health estimation based on charging–discharging profiles
作者
关键词
Lithium-ion battery, Health indicator, State of health, Grey relation analysis
出版物
Journal of Energy Storage
Volume 33, Issue -, Pages 102122
出版商
Elsevier BV
发表日期
2020-12-02
DOI
10.1016/j.est.2020.102122
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A hybrid statistical data-driven method for on-line joint state estimation of lithium-ion batteries
- (2020) Yuchen Song et al. APPLIED ENERGY
- SOH and RUL Prediction of Lithium-Ion Batteries Based on Gaussian Process Regression with Indirect Health Indicators
- (2020) Jianfang Jia et al. Energies
- A New Lithium-Ion Battery SOH Estimation Method Based on an Indirect Enhanced Health Indicator and Support Vector Regression in PHMs
- (2020) Zhengyu Liu et al. Energies
- Rate dependency of incremental capacity analysis (dQ/dV) as a diagnostic tool for lithium-ion batteries
- (2020) A. Fly et al. Journal of Energy Storage
- Battery state of health modeling and remaining useful life prediction through time series model
- (2020) Chun-Pang Lin et al. APPLIED ENERGY
- Online diagnosis of state of health for lithium-ion batteries based on short-term charging profiles
- (2020) Xing Shu et al. JOURNAL OF POWER SOURCES
- A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems
- (2020) Yujie Wang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Load-responsive model switching estimation for state of charge of lithium-ion batteries
- (2019) Xiaopeng Tang et al. APPLIED ENERGY
- An indirect RUL prognosis for lithium-ion battery under vibration stress using Elman neural network
- (2019) Wenhua Li et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Capacity degradation in commercial Li-ion cells: The effects of charge protocol and temperature
- (2019) Han Wang et al. JOURNAL OF POWER SOURCES
- Lithium-ion battery state-of-health estimation in electric vehicle using optimized partial charging voltage profiles
- (2019) Jinhao Meng et al. ENERGY
- An enhanced multi-state estimation hierarchy for advanced lithium-ion battery management
- (2019) Xiaosong Hu et al. APPLIED ENERGY
- State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression
- (2019) Xiaoyu Li et al. ENERGY
- Lithium-Ion Battery State-of-Health Estimation Using the Incremental Capacity Analysis Technique
- (2019) Daniel-Ioan Stroe et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis
- (2019) Piyush Tagade et al. JOURNAL OF POWER SOURCES
- Online Impedance Measurement of Batteries Using the Cross-Correlation Technique
- (2019) Taha Nurettin Gucin et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) estimation
- (2018) J. Li et al. APPLIED ENERGY
- State of health diagnosis model for lithium ion batteries based on real-time impedance and open circuit voltage parameters identification method
- (2018) Yingzhi Cui et al. ENERGY
- Incremental capacity analysis and differential voltage analysis based state of charge and capacity estimation for lithium-ion batteries
- (2018) Linfeng Zheng et al. ENERGY
- Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries
- (2018) Ephrem Chemali et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Lithium-ion battery remaining useful life prediction with Box-Cox transformation and Monte Carlo simulation
- (2018) Yongzhi Zhang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter
- (2018) Yi Li et al. JOURNAL OF POWER SOURCES
- A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve
- (2018) Duo Yang et al. JOURNAL OF POWER SOURCES
- A fast estimation algorithm for lithium-ion battery state of health
- (2018) Xiaopeng Tang et al. JOURNAL OF POWER SOURCES
- A new state-of-health estimation method for lithium-ion batteries through the intrinsic relationship between ohmic internal resistance and capacity
- (2018) Lin Chen et al. MEASUREMENT
- Online State of Health Estimation for Lithium-Ion Batteries Based on Support Vector Machine
- (2018) Zheng Chen et al. Applied Sciences-Basel
- An On-line State of Health Estimation of Lithiumion Battery using Unscented Particle Filter
- (2018) Datong Liu et al. IEEE Access
- Lithium-ion battery health prognosis based on a real battery management system used in electric vehicles
- (2018) Rui Xiong et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging
- (2018) Xiaopeng Tang et al. ENERGY CONVERSION AND MANAGEMENT
- State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis
- (2018) Xiaoyu Li et al. JOURNAL OF POWER SOURCES
- Towards a smarter battery management system: A critical review on battery state of health monitoring methods
- (2018) Rui Xiong et al. JOURNAL OF POWER SOURCES
- An evolutionary framework for lithium-ion battery state of health estimation
- (2018) Lei Cai et al. JOURNAL OF POWER SOURCES
- A data-driven remaining capacity estimation approach for lithium-ion batteries based on charging health feature extraction
- (2018) Peiyao Guo et al. JOURNAL OF POWER SOURCES
- State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters
- (2018) F. Cadini et al. APPLIED ENERGY
- Capacity estimation algorithm with a second-order differential voltage curve for Li-ion batteries with NMC cathodes
- (2017) Taedong Goh et al. ENERGY
- Practical failure recognition model of lithium-ion batteries based on partial charging process
- (2017) Kunlong Chen et al. ENERGY
- Adaptive prognosis of lithium-ion batteries based on the combination of particle filters and radial basis function neural networks
- (2017) Claudio Sbarufatti et al. JOURNAL OF POWER SOURCES
- A probabilistic approach for prognosis of battery pack aging
- (2017) Chin-Yao Chang et al. JOURNAL OF POWER SOURCES
- A Comparison between Electrochemical Impedance Spectroscopy and Incremental Capacity-Differential Voltage as Li-ion Diagnostic Techniques to Identify and Quantify the Effects of Degradation Modes within Battery Management Systems
- (2017) Carlos Pastor-Fernández et al. JOURNAL OF POWER SOURCES
- A capacity model based on charging process for state of health estimation of lithium ion batteries
- (2016) Xue Li et al. APPLIED ENERGY
- State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking
- (2016) Caihao Weng et al. APPLIED ENERGY
- Real-time state-of-health estimation for electric vehicle batteries: A data-driven approach
- (2016) Gae-won You et al. APPLIED ENERGY
- On-board state of health estimation of LiFePO4 battery pack through differential voltage analysis
- (2016) Limei Wang et al. APPLIED ENERGY
- Development of an empirical aging model for Li-ion batteries and application to assess the impact of Vehicle-to-Grid strategies on battery lifetime
- (2016) Martin Petit et al. APPLIED ENERGY
- State of health estimation algorithm of LiFePO4 battery packs based on differential voltage curves for battery management system application
- (2016) Maitane Berecibar et al. ENERGY
- Remaining useful lifetime prediction based on the damage-marker bivariate degradation model: A case study on lithium-ion batteries used in electric vehicles
- (2016) Jing Feng et al. ENGINEERING FAILURE ANALYSIS
- Life cycle assessment of lithium-air battery cells
- (2016) Mats Zackrisson et al. JOURNAL OF CLEANER PRODUCTION
- Online state of health estimation on NMC cells based on predictive analytics
- (2016) Maitane Berecibar et al. JOURNAL OF POWER SOURCES
- Extending battery life: A low-cost practical diagnostic technique for lithium-ion batteries
- (2016) Yu Merla et al. JOURNAL OF POWER SOURCES
- A novel health indicator for on-line lithium-ion batteries remaining useful life prediction
- (2016) Yapeng Zhou et al. JOURNAL OF POWER SOURCES
- Critical review of state of health estimation methods of Li-ion batteries for real applications
- (2016) M. Berecibar et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation
- (2015) Meru A. Patil et al. APPLIED ENERGY
- Performance analysis and SOH (state of health) evaluation of lithium polymer batteries through electrochemical impedance spectroscopy
- (2015) Matteo Galeotti et al. ENERGY
- Practical state of health estimation of power batteries based on Delphi method and grey relational grade analysis
- (2015) Bingxiang Sun et al. JOURNAL OF POWER SOURCES
- Online estimation of lithium-ion battery remaining discharge capacity through differential voltage analysis
- (2015) Guangming Liu et al. JOURNAL OF POWER SOURCES
- A Health Indicator Extraction and Optimization Framework for Lithium-Ion Battery Degradation Modeling and Prognostics
- (2015) Datong Liu et al. IEEE Transactions on Systems Man Cybernetics-Systems
- A generic model-free approach for lithium-ion battery health management
- (2014) Guangxing Bai et al. APPLIED ENERGY
- Data-driven method based on particle swarm optimization and k-nearest neighbor regression for estimating capacity of lithium-ion battery
- (2014) Chao Hu et al. APPLIED ENERGY
- Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility
- (2014) Seyed Mohammad Rezvanizaniani et al. JOURNAL OF POWER SOURCES
- Modeling of degradation effects considering side reactions for a pouch type Li-ion polymer battery with carbon anode
- (2014) Rujian Fu et al. JOURNAL OF POWER SOURCES
- Remaining capacity estimation of Li-ion batteries based on temperature sample entropy and particle filter
- (2014) Junfu Li et al. JOURNAL OF POWER SOURCES
- Li-ion battery capacity estimation: A geometrical approach
- (2014) Chen Lu et al. JOURNAL OF POWER SOURCES
- Intelligent Prognostics for Battery Health Monitoring Using the Mean Entropy and Relevance Vector Machine
- (2014) Hong Li et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Enhanced sample entropy-based health management of Li-ion battery for electrified vehicles
- (2013) Xiaosong Hu et al. ENERGY
- On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression
- (2013) Caihao Weng et al. JOURNAL OF POWER SOURCES
- A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification
- (2013) Xuebing Han et al. JOURNAL OF POWER SOURCES
- An improved autoregressive model by particle swarm optimization for prognostics of lithium-ion batteries
- (2013) Bing Long et al. MICROELECTRONICS RELIABILITY
- Influence of plug-in hybrid electric vehicle charging strategies on charging and battery degradation costs
- (2012) Benedikt Lunz et al. ENERGY POLICY
- Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data
- (2012) Madeleine Ecker et al. JOURNAL OF POWER SOURCES
- Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods
- (2012) Adnan Nuhic et al. JOURNAL OF POWER SOURCES
- Remaining useful life prediction of lithium-ion battery with unscented particle filter technique
- (2012) Qiang Miao et al. MICROELECTRONICS RELIABILITY
- Intelligent prognostics for battery health monitoring based on sample entropy
- (2011) Achmad Widodo et al. EXPERT SYSTEMS WITH APPLICATIONS
- System Identification and Estimation Framework for Pivotal Automotive Battery Management System Characteristics
- (2011) Bharath Pattipati et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
- State-of-Charge Estimation and State-of-Health Prediction of a Li-Ion Degraded Battery Based on an EKF Combined With a Per-Unit System
- (2011) Jonghoon Kim et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Evaluation of commercial lithium-ion cells based on composite positive electrode for plug-in hybrid electric vehicle applications. Part I: Initial characterizations
- (2011) Matthieu Dubarry et al. JOURNAL OF POWER SOURCES
- Evaluation of commercial lithium-ion cells based on composite positive electrode for plug-in hybrid electric vehicle applications. Part II. Degradation mechanism under 2C cycle aging
- (2011) Matthieu Dubarry et al. JOURNAL OF POWER SOURCES
- Capacity-fading prediction of lithium-ion batteries based on discharge curves analysis
- (2011) Kohei Honkura et al. JOURNAL OF POWER SOURCES
- A review of the features and analyses of the solid electrolyte interphase in Li-ion batteries
- (2010) Pallavi Verma et al. ELECTROCHIMICA ACTA
- Cycle-life model for graphite-LiFePO4 cells
- (2010) John Wang et al. JOURNAL OF POWER SOURCES
- Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries
- (2009) Kong Soon Ng et al. APPLIED ENERGY
- Auxiliary diagnosis method for lead–acid battery health based on sample entropy
- (2009) Yu-Hua Sun et al. ENERGY CONVERSION AND MANAGEMENT
- Identify capacity fading mechanism in a commercial LiFePO4 cell
- (2009) Matthieu Dubarry et al. JOURNAL OF POWER SOURCES
- Cycle-Life Characterization of Automotive Lithium-Ion Batteries with LiNiO[sub 2] Cathode
- (2009) Yancheng Zhang et al. JOURNAL OF THE ELECTROCHEMICAL SOCIETY
- Comparison of different approaches for lifetime prediction of electrochemical systems—Using lead-acid batteries as example
- (2007) Dirk Uwe Sauer et al. JOURNAL OF POWER SOURCES
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